Description

What You Will Learn?

In this course, you will learn the basics of Machine learning and types of Machine learning like Supervised Learning, Unsupervised Learning, and Reinforcement Learning. In the first type of Machine learning, you will learn the most common task classification and regression.

In the second type of Machine Learning, we learn to cluster the data, and Finally, The Last type, is to determine the ideal behavior in order to maximize its performance.

After you learn this course, you are able to showcase your Machine Learning Skills to your resume and can get better job opportunities. 

Course Content

Total: 22 lectures
  • Welcome!
  • Artificial Intelligence (AI) – The Future
  • Artificial Intelligence (AI)
  • Classical Programming
  • Machine Learning (ML)
  • Deep Learning
  • Applied versus Generalized Artificial Intelligence (AI)
  • Why Do We Need AI Today?
  • Machine Learning (ML) Terminology
  • The "Black Box" Metaphor
  • Features and Labels
  • Training a Model
  • Aiming for Generalization
  • The Degree of Supervision
  • Supervised Learning
  • Classification
  • Regression
  • Unsupervised Learning
  • Clustering
  • Dimension Reduction
  • Reinforcement Learning
  • Decision-making Agent

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